Course

# Python Exploratory Data Analysis Tutorial

Learn the basics of Exploratory Data Analysis (EDA) in Python with Pandas, Matplotlib and NumPy, such as sampling, feature engineering, correlation, etc.

mar 2017 · 30 min leer

Python courses

4 hr

5.5M

Course

### Intermediate Python

4 hr

1.1M

Course

### Exploratory Data Analysis in Python

4 hr

37.6K

Ver más

RelacionadoSee MoreSee More

hoja de referencia

### Pandas Cheat Sheet for Data Science in Python

A quick guide to the basics of the Python data analysis library Pandas, including code samples.

Karlijn Willems

4 min

tutorial

### Kaggle Tutorial: EDA & Machine Learning

In this Kaggle tutorial, you'll learn how to approach and build supervised learning models with the help of exploratory data analysis (EDA) on the Titanic data.

Hugo Bowne-Anderson

10 min

tutorial

### Exploratory Data Analysis of Craft Beers: Data Profiling

In this tutorial, you'll learn about exploratory data analysis (EDA) in Python, and more specifically, data profiling with pandas.

DataCamp Team

14 min

tutorial

### Pandas Tutorial: DataFrames in Python

Explore data analysis with Python. Pandas DataFrames make manipulating your data easy, from selecting or replacing columns and indices to reshaping your data.

Karlijn Willems

20 min

Programando juntos

### Exploratory Data Analysis in Python for Absolute Beginners

In this live codealong, you will learn the basics of exploring new datasets

Filip Schouwenaars

Programando juntos

### Exploratory Data Analysis in Python for Beginners

In this code-along, you will be introduced to the basics of exploring new datasets. Using data on UK Premiership soccer results, you will use Python to calculate summary statistics and draw visualizations to generate insights.

George Cunningham